A Temperature-Precipitation Based Leafing Model and Its Application in Northeast China
- 作者：Rong-Ping LiGuang-Sheng Zhou
- 会议时间：2014-09-10
- 作者单位：Rong-Ping Li(State Key Laboratory of Vegetation and Environmental Change, Institute of Botany, Chinese Academy of Sciences, Beijing, China; Graduate School of Chinese Academy of Sciences, Beijing, China;Institute of Atmospheric Environment, China Meteorological Administration, Shenyang, China)Guang-Sheng Zhou(State Key Laboratory of Vegetation and Environmental Change, Institute of Botany, Chinese Academy of Sciences, Beijing, China;Chinese Academy of Meteorological Sciences, Beijing, China)
- 母体文献：第八届全国优秀青年气象科技工作者学术研讨会论文集
- 会议名称：第八届全国优秀青年气象科技工作者学术研讨会
- 会议地点：江苏宜兴
- 主办单位：中国气象学会
- 语种：chi
摘要
Plant phenology models, especiallyy leafing models, play critical roles in evaluating the impact of climate change on the primary production of temperate plants.Existing models based on temperature alone could not accurately simulate ploant leafing in arid and semi-arid regions.The objective of the present study was to test the suitability of the existing temperature-based leafing models in arid and semi-arid regions, and to develop a temperature-precipitation based leafing model (TP), based on the long-term (i.e., 12-27 years) ground leafing observation data and meteorological data in Northeast China.The better simulation of leafing for all the plant species in Northeast China was given by TP with the fixed starting date (TPn) than with the parameterized starting date (TPm), which gave the smallest average root mean square error (RMSE) of 4.21 days.Tree leafing models were validated with independent data, and the coefficient of determination (R2) was greater than 0.60 in 75% of the estimates by TP and the spring warming model (SW) with the fixed starting date.The average RMSE of herb leafing simulated by TPn was 5.03 days, much lower than other models (>9.51 days), while the average R2 of TPn and TPm were 0.68 and 0.57, respectively, much higher than the other models (<0.22).It indicates that TPn is a universal model and more Suitable for simulating leafing of trees and herbs than the prior models.Furthermore, water is an important factor determining herh leafing in arid and semi-arid ternperate regions.